Rishikesh Ranade
Impact in
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- Model Reduction and Neural Networks
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- Advanced Combustion Engine Technologies
Papers in
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- Model Reduction and Neural Networks 13
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- Combustion and flame dynamics 7
- Heat Transfer and Numerical Methods 2
- Co-authors
- Tarek Echekki (10 shared papers)Christopher Hill (1 shared paper)Sultan Alqahtani (2 shared papers)Aamir Farooq (2 shared papers)Adarsh Krishnamurthy (1 shared paper)Soumik Sarkar (1 shared paper)Aditya Balu (1 shared paper)George Em Karniadakis (3 shared papers)
- Journals
- Combustion and Flame (3 papers)Computer Methods in Applied Mechanics and Engineering (3 papers)Fuel (2 papers)Combustion Science and Technology (2 papers)Energy & Fuels (1 paper)
- Partner nations
- United StatesUnited KingdomSaudi Arabia
In The Last Decade
Rishikesh Ranade
24 papers receiving 448 citations
Peers
Comparison fields: 5 of 38
- Statistical and Nonlinear Physics 271
- Fluid Flow and Transfer Processes 61
- Computational Mechanics 131
- Civil and Structural Engineering 35
- Architecture 3
Countries citing papers authored by Rishikesh Ranade
This map shows the geographic impact of Rishikesh Ranade's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Rishikesh Ranade with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Rishikesh Ranade more than expected).
Fields of papers citing papers by Rishikesh Ranade
This network shows the impact of papers produced by Rishikesh Ranade. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Rishikesh Ranade. The network helps show where Rishikesh Ranade may publish in the future.
Co-authors
The 20 scholars most cited alongside Rishikesh Ranade, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 24 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | 2021 | 118 | |
| 2 | 2018 | 49 | |
| 3 | 2021 | 48 | |
| 4 | 2019 | 41 | |
| 5 | 2019 | 32 | |
| 6 | 2019 | 24 | |
| 7 | 2019 | 24 | |
| 8 | 2021 | 24 | |
| 9 | 2024 | 24 | |
| 10 | 2024 | 18 | |
| 11 | 2023 | 13 | |
| 12 | 2022 | 12 | |
| 13 | 2022 | 8 | |
| 14 | 2023 | 7 | |
| 15 | 2021 | 4 | |
| 16 | 2025 | 4 | |
| 17 | 2022 | 3 | |
| 18 | 2023 | 3 | |
| 19 | 2023 | 2 | |
| 20 | 2022 | 1 |
About Rishikesh Ranade
Rishikesh Ranade is a scholar working on Statistical and Nonlinear Physics, Computational Mechanics, Fluid Flow and Transfer Processes, Hardware and Architecture and Electrical and Electronic Engineering, having authored 24 papers that have together received 463 indexed citations. Recurring topics across this work include Model Reduction and Neural Networks (13 papers), Combustion and flame dynamics (7 papers), 3D IC and TSV technologies (3 papers), Machine Learning in Materials Science (2 papers), Heat Transfer and Numerical Methods (2 papers), Advanced Combustion Engine Technologies (2 papers), Topology Optimization in Engineering (1 paper) and Parallel Computing and Optimization Techniques (1 paper). The work is most often cited by research in Statistical and Nonlinear Physics (271 citations), Fluid Flow and Transfer Processes (61 citations), Computational Mechanics (131 citations), Civil and Structural Engineering (35 citations) and Architecture (3 citations). Rishikesh Ranade has collaborated with scholars based in United States, United Kingdom and Saudi Arabia. Frequent co-authors include Tarek Echekki, Christopher Hill, Sultan Alqahtani, Aamir Farooq, Adarsh Krishnamurthy, Soumik Sarkar, Aditya Balu, George Em Karniadakis, Enrui Zhang and Akhilesh Kumar. Their work appears in journals such as Combustion and Flame, Computer Methods in Applied Mechanics and Engineering, Fuel, Combustion Science and Technology and Energy & Fuels.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.